Prognosis of hybrid systems with multiple incipient faults: Augmented global analytical redundancy relations approach

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 41, Issue 3, 2011, Pages 540-551

  Yu, Ming ^a   Wang, Danwei ^a   Luo, Ming ^b   Huang, Lei ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY   (Singapore)

Author keywords

Augmented global analytical redundancy relations (AGARRs); degradation model; fault prognosis; hybrid systems; multiple incipient faults; particle swarm optimization (PSO)

Indexed keywords

ANALYTICAL REDUNDANCY; DEGRADATION CHARACTERISTICS; DEGRADATION MODEL; FAULT DETECTION AND ISOLATION; FAULT PROGNOSIS; INCIPIENT FAULTS; MODEL-BASED; MULTIPLE INCIPIENT FAULTS; OPTIMIZATION ALGORITHMS; PHYSICAL PARAMETERS; SENSORS AND ACTUATORS;

ALGORITHMS; DEGRADATION; FAULT DETECTION; HYBRID COMPUTERS; HYBRID SYSTEMS; QUALITY ASSURANCE; REDUNDANCY;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 79955466396     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2010.2076396     Document Type: Article

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